Hideyuki Takeshima
- Molecular Biology top 5%
- Cancer Research top 5%
- Genetics top 10%
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Co-authors
- Toshikazu UshijimaIsao SuetakeShoji TajimaSatoshi YamashitaTohru NiwaToshizumi TanabeKiyoshi YamauchiAkira Tachibana
- Topics
- Epigenetics and DNA Methylation (38 papers)Cancer-related gene regulation (15 papers)RNA modifications and cancer (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanGermanyUnited Kingdom
In The Last Decade
Hideyuki Takeshima
70 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.6k
- Cancer Research 358
- Genetics 302
- Pulmonary and Respiratory Medicine 264
- Surgery 261
Countries citing papers authored by Hideyuki Takeshima
This map shows the geographic impact of Hideyuki Takeshima's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hideyuki Takeshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyuki Takeshima more than expected).
Fields of papers citing papers by Hideyuki Takeshima
This network shows the impact of papers produced by Hideyuki Takeshima. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hideyuki Takeshima. The network helps show where Hideyuki Takeshima may publish in the future.
Co-authorship network of co-authors of Hideyuki Takeshima
This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Takeshima. A scholar is included among the top collaborators of Hideyuki Takeshima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hideyuki Takeshima. Hideyuki Takeshima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 50 | |
| 9 | 70 | |
| 10 | 17 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 30 | |
| 16 | 55 | |
| 17 | 25 | |
| 18 | 143 | |
| 19 | 87 | |
| 20 | 57 |
About Hideyuki Takeshima
Hideyuki Takeshima is a scholar working on Cancer Research, Molecular Biology and Developmental Neuroscience, having authored 72 papers that have together received 2.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (38 papers), Cancer-related gene regulation (15 papers) and RNA modifications and cancer (11 papers). The work is most often cited by research in Developmental Neuroscience (126 citations), Cancer Research (358 citations) and Molecular Biology (1.6k citations). Hideyuki Takeshima has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Toshikazu Ushijima, Isao Suetake, Shoji Tajima, Satoshi Yamashita, Tohru Niwa, Toshizumi Tanabe, Kiyoshi Yamauchi, Akira Tachibana, Takayuki Ando and Naoko Hattori. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.